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The data were collected during a 6-month production cycle of the same type of a product.
Then, the obtained data were compared to the mechanical properties determined for three different suppliers of charge sheets.
The data regarding the amount of defects and tool wearing were collected in a long production cycle
Fig. 21 Data compared to a plasticity margin In case of relating the analyzed data to the percentage elongation and the strain hardening factor, with so intensively work-hardened charge material, ​​decrease of the percentage elongation values by 1 point and increase of strain-hardening factor of 0.006, cause an increase in spoilage and worn tools.
Fig. 22 The data compared to elongation Fig. 23 The data compared to elongation and work-hardening coefficient (n) Conclusion - There is a relationship between the number of defects and the amount of worn tools.

Both force and displacement data are recorded in z-direction.
The displacement data is adjusted with a correction curve that compensates for the stiffness of the universal testing machine and the upsetting tool.
A further reduction to λ = 0.1 does not lead to a continued decrease in the flow stress.
For AA7075-T6, only at λ = 0.1 is there a slight reduction of 3% in the onset of yielding, which corresponds to the reduction of the yield stress level in the flow curve.
The reduction of the yield stress level correlates with the grain size of the materials.

Morphological and optical data confirms that rGO losses the oxygen groups compare to GO.
Thus, GO can be reduced by a chemical reagent, thermal reduction and multistep reduction in order to remove the oxygen containing functional groups [6].
More folded and wrinkled structure is produced when the reduction is stronger [15].
This is due to the reduction of the oxygen functional groups in graphene oxide.
Park, “Simple and cost-effective reduction of graphite oxide by sulfuric acid,” Carbon N.

Discussion and Research on the Deactivation of the SCR Catalyst in the Coal-fired Power Plants Ning Zhao1, a, Siwei Pan, and Zhengle Wei 1Electric Power Research Institute of Guangdong Power Grid Corporation, Guangzhou, Guangdong 510080, China aemail: 15088050825@163.com Keywords: selective catalytic reduction; SCR catalyst; activity; deactivation Abstract.
The selective catalytic reduction (SCR) was the most common and effective technology to remove NOx from flue gas, widely used in the power plants[1,2].
Combined with SEM characterization results, the used catalyst can be sintered and resulted in reduction of its catalytic activity.
By the XRF data from Table 5, we can see the main element content of SCR catalyst (TiO2, V2O5 and WO3) was slight changes.
Besides, a certain degree of sintering occurred on the surface of the used catalyst, which caused the reduction of the specific surface area.

Figure 2 Carbon price in the seven pilots 2.2 Achievements According to the current data, the ETS pilots go well,and have brought remarkable achievements.
Second, the consciousness of carbon reduction of enterprises has enhanced, many professional organizations are established for carbon asset management.
(3)Statistical accounting of carbon emissions data base is incomplete.
Before the carbon emissions trading pilot program, there are no corporate-level statistics on greenhouse gas emissions system.Therefore, in the beginning, the pilot were facing difficulties of data deficiency .Most pilots collect data form the historical emissions data, but these retrospective data is low-quality, there may be some bias in the pilot policy which was made based on these historical carbon emissions data.Such as the total carbon emissions may be set too high, the reference value of carbon emissions may be unreasonable designed.
Power generation enterprises may be unable to achieve carbon reduction.And it can’t promote the power consumer to reduce emissions through the price mechanism.

In large scale data centers, server systems, or in the enterprise storage system, power consumption of hard disks is a critical issue where data-intensive applications exhaust disk storage extensively.
Moreover, virtualization is ever-growingly deployed in data centers for power and cost savings.
Power Usage Effectiveness (PUE) metric is often used to evaluate the efficiency of data centers [18].
PUE is the ratio of the total power consumed by a data center to the power consumed by the IT equipment that operates the facility.
And it is usually hard to get comprehensive data on the power consumptions of specific components.

Z.Pawlak in 1982, as a data analysis theory[1,2], it can effectively analyze and deal with the inaccurate, inconsistent, incomplete and other incomplete information, and find hidden knowledge, reveal the potential of the rules[3].
Based on the effective information extracted from the large numbers of transaction data of the enterprise, rough set theory can effectively prevent the occurrence of enterprise risk.
But dealing with massive data by hand is obviously unreachable, so we designed a computer program based on the thought of rough set to find out the rules.
In this paper, the rough set-based customer risk model is based on a large amount of transaction data, through the analysis of the data, while retaining critical data, reduce the data and get the smallest expression of knowledge, thus to find the inherent rules of customer risk factors, and finally provide reliable, objective and fair reference to circumvent customer risks.
It has been proved that the rough set theory can identify potential and unknown knowledge from the large numbers of customer transaction data, and such knowledge can effectively prevent the occurrence of enterprise risk.

Despite the same test data, there are many obvious differences ,compared the test date with each other.
The mechanical properties of reduction is larger between20 ℃ and 500 ℃; The experimental data conforms to changes of mechanical properties at high temperature, It shows that it changes smoothly in less than 400 ℃and obviously in more than 400 ℃.
Test results of high temperature mechanical properties of steel strand Taking the limitations of test data into account, this paper processed test data on average, and then analyzed the processed data, finding that the relation between the yield strength and elastic modulus reduction of pre-stressed cables and varied temperature.
The equation can be written as: Yield strength reduction factor: fT= -2.01×10-6T2 -4.05×10-4 T+1.0354 (1) Elastic modulus reduction factor: ET = -1.99×10-6T2-0.82×10-5T+0.9967 (2) The corresponding degree of equations (1), (2) with the experimental data is shown in Fig. 2, the regression equation and processing of experimental data better degree of fit.
Experimental data regression analysis Methods of calculation for steel member temperature This paper uses the air elevation of temperature equation [4]: T(x,z,t) – Tg(0) = TZ [ 1 – 0.8exp ( - βt ) - 0.2exp ( - 0.1βt ) ][ η + (1 – η )exp (- ( x – b ) / u ) ] (3) Where T(x,z,t) is the air temperature (°C) and in which t is the time, x (m) is the horizontal distance from the center of the fire, z (m) is the vertical distance from the ground.

The traditional exhaust silencers, which are normally constructed by combination of expansion chamber, and perforated pipe or perforated board, are with high exhaust resistance, but poor noise reduction especially for the low-frequency band noise.
But most of the traditional exhaust mufflers are composed of expansion chamber, and perforated pipe or perforated board [2], whose exhaust resistance is rather great and whose function of noise reduction is very poor, especially for the low frequency, which is the major part of exhaust noise [3].
In accordance with the theory of sound radiation, the author can regard the two opposite holes as the two plunger sound source, and due to the reverse oscillation, the radiation capability of the combined sound resource is reduced, so the author can reach the aim of noise reduction.
Fig. 1 Principle of the muffler using reversed-phase cancelling Analysis to the experimental results The theoretical formula for transmission loss of the new type muffler TL= The author designs 3 series of data and name them as Muffler TypeΙ, Muffler TypeⅡ and Muffler TypeⅢ, and their sizes are as the following: Muffler TypeΙ: r=165mm, l=80mm; Muffler TypeⅡ: r=165mm, l=60mm; Muffler TypeⅢ: r=56mm, l=80mm 0 20 40 60 80 100 120 31.5 63 125 250 500 1000 2000 4000 Octave-band /Hz Sound pressure level /dB pipe orig new1 new2 new3 Fig. 2 The contrast on octave-band sound pressure level at 1800r/min 0 20 40 60 80 100 120 31.5 63 125 250 500 1000 2000 4000 Octave-band /Hz Sound pressure level /dB pipe orig new1 new2 new3 Fig. 3 The contrast on octave-band sound pressure level at 2000r/min Fig. 4 The time domain signal of the newⅠat 2000r/min Fig. 5 The spectrum of the newⅠ muffler at 2200r/min Fig. 6 The time domain
This not only proved that the new mufflers have very good performance for low-frequency noise reduction, but also proved that using split-gas rushing can lower the air flow speed thus lowering the air-regeneration noise.

Due to special algorithms of averaging within multigrid approach, reduction of the problem is provided.
Generally the choice of these domains is a priori data with respect to the structure being modeled.
Averaging and Reduction in Haar Basis.
(14) Let be vectors of corresponding reduced components of vectors in Haar basis, be so-called reduction matrix of size , is the size of vectors ) in interval .
Thus, after reduction and transformation we get ; (21) ; ; ; ; (22) ; ;